{"id":"W2107012144","doi":"10.1109/mobiq.2006.340389","title":"Optimal Actuation Strategies for Sensor/Actuator Networks","year":2006,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Actuator; Wireless sensor network; Computer science; Focus (optics); Wireless; Distributed computing; Data modeling; Real-time computing; Control engineering; Computer network; Artificial intelligence; Engineering; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001369588,0.0009095637,0.0009610384,0.000438295,0.0003731681,0.0006163651,0.0009128173,0.0009549906,0.001972589],"category_scores_gemma":[0.00283602,0.000441949,0.0003096218,0.0004210632,0.0008645489,0.001024634,0.0009701678,0.0007420473,0.0003380444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006228986,"about_ca_system_score_gemma":0.0006388772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001453393,"about_ca_topic_score_gemma":0.00132411,"domain_scores_codex":[0.9993879,0.0002396387,0.00004076366,0.0001396806,0.0001169593,0.00007508504],"domain_scores_gemma":[0.9988494,0.000733516,0.0001744518,0.00005441805,0.0001280907,0.00006013548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000736822,0.00004620471,0.0002043215,0.00006670651,0.00002264889,0.00004234798,0.00004791986,0.9538971,0.002595713,0.01283973,0.0006842906,0.02947937],"study_design_scores_gemma":[0.00001274312,0.0000322831,0.00005520041,0.000004165905,0.000003546993,0.000006791595,0.00001072308,0.9898018,0.0004054306,0.009295657,0.000367919,0.000003763725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01904152,0.0004381872,0.9773453,0.0002770186,0.00003655159,0.0000601901,0.00003912695,0.0001341309,0.002627797],"genre_scores_gemma":[0.8621488,0.0005056205,0.132044,0.0002079726,0.00007120385,0.0003284975,0.00009778652,0.00006419972,0.00453193],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001972589,"threshold_uncertainty_score":0.007243216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00952951976503067,"score_gpt":0.2237703128923284,"score_spread":0.2142407931272977,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}